Which is not true of the logistic regression model? Multiple Choice It is nonlinear. It can best be fitted using the maximum likelihood method. Its predictions are either 0 or 1. It cannot yield predictions greater than 1.
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Logistic regression is used for binary classification problems where the outcome is categorical (0 or 1). It models the probability that a given input point belongs to a certain class. Show more…
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Which of the following is NOT true about Logistic Regression 1. It cannot be extended to predicting multiple classes. 2. It constructs linear decision boundaries. 3. It is very fast at classifying unknown records. 4. Assumes that the predictor variables are independent of each other. (2), (3) & (4) Only (1) Only (4) All the statements made are true
Hoan N.
Sri K.
18. The major problem of the linear probability model is that A) the predicted probabilities may be negative or larger than 1. B) the dependent variable is binary, yet the predicted values of this model are almost never exactly 0 or 1. C) the regression R2 cannot be used as a measure of fit. D) people do not always make clear-cut decisions.
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